Results 111 to 120 of about 41,155 (321)

Operando X‐Ray Diffraction and Total Scattering Characterization of Battery Materials: Not Just a Pretty Picture

Advanced Energy Materials, EarlyView.
This review focuses on operando studies of battery materials by X‐ray diffraction (XRD) and total X‐ray scattering (TXS). This work highlights potential pitfalls and identify best‐practices for operando studies and reviews some unusual experiments to illustrate how these methods can be applied beyond the evaluation of the early‐stage cycling mechanisms
Amalie Skurtveit, Eira Tiberg North, Izar Capel Berdiell, Wouter Van Beek, David S. Wragg, Alexey Y. Koposov   +5 more
wiley   +1 more source

Comprehensive pore defect analysis for electron beam-powder bed fusion of Ti48Al2Cr2Nb

Advances in Industrial and Manufacturing Engineering
The process-microstructure relationship of gamma-titanium aluminide (Ti-48Al-2Cr-2Nb) parts fabricated via electron beam-powder bed fusion (PBF-EB) process was investigated.
Tomisin Ayeni, Paria Karimi, Mohsen K. Keshavarz, Esmaeil Sadeghi, Mahdi Habibnejad-korayem, Mihaela Vlasea   +5 more
doaj   +1 more source

Thermal energy storage material thermophysical property measurement and heat transfer impact [PDF]

The thermophysical properties of salts having potential for thermal energy storage to provide peaking energy in conventional electric utility power plants were investigated.
Bourne, J. G., Destarlais, A. O., Tye, R. P.   +2 more
core   +1 more source

Emerging Materials and Future Strategies for Solid Oxide Electrochemical Cells

Advanced Energy Materials, EarlyView.
Solid oxide electrochemical cells operate under strongly coupled electrochemical and thermodynamic conditions, where performance is constrained by interactions among crystal structure, defect chemistry, and interfacial evolution. This review, based on a structure‐defect‐property‐durability framework, reveals the roles of lattice symmetry and defect ...
Qiuchun Lu, Yufei Zhang, Han Zhao, Pooi See Lee, Daniel H.C. Chua   +4 more
wiley   +1 more source

From continuous to interruptible distillation: Flexible electric heating column architecture with fast start‐up

AIChE Journal, EarlyView.
Abstract Electrification of distillation offers a promising route to reducing scope‐1 emissions from one of the chemical industry's most energy‐intensive unit operations. However, conventional adiabatic columns are dynamically inflexible: Long, energy‐intensive start‐ups make shutdown and restart impractical under variable electricity prices and ...
Samuel Mercer, Michael Baldea
wiley   +1 more source

The Enthalpy of Fusion of Magnesium Chloride. [PDF]

Acta Chemica Scandinavica, 1973
Jan Lützow Holm, Fredrik Grønvold, Leif J. Sæthre, Steen Skaarup, Riitta Aaltonen, Carl-Gunnar Swahn   +5 more
openaire   +1 more source

Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion

Advanced Intelligent Discovery, EarlyView.
This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia, Christian Mark Pelicano   +1 more
wiley   +1 more source

Scaling laws for ring-shaped beam profiles in laser-based powder bed fusion of metals

Advances in Industrial and Manufacturing Engineering
The application of alternative beam shapes is a current research trend to stabilize and accelerate the laser-based powder bed fusion of metals process. Although many publications show a reduced process dynamic and an enlargement of the process window for
Jonas Grünewald, Moritz Wittemer, Katrin Wudy   +2 more
doaj   +1 more source

The Enthalpy of Fusion of Samarium Trifluoride. [PDF]

Acta Chemica Scandinavica, 1972
Jan Lützow Holm, Fredrik Grønvold, E. E. Tucker, J. Songstad, Sigfrid Svensson   +4 more
openaire   +1 more source

Harnessing Machine Learning to Understand and Design Disordered Solids

Advanced Intelligent Discovery, EarlyView.
This review maps the dynamic evolution of machine learning in disordered solids, from structural representations to generative modeling. It explores how deep learning and model explainability transform property prediction into profound physical insight.
Muchen Wang, Yue Fan
wiley   +1 more source